On Thu, Nov 27, 2014 at 1:31 PM, Leonardo M. Rocha <[email protected]> wrote:
> > There is a difficulty here, that if it learns continuously, how to > evaluate the success of the task? > As with all tutors, you evaluate their performance by looking at changes in student performance. You ask "did the student actually learn?" A more sophisticated inquiry would ask if your machine can improve the performance of ALL students, including students who are non-native English speakers, students who are at risk of failing, students who are doing very well academically, special education students and so on. The tutor would really be a planning machine. It first has to figure out where the student is. Then look where we want the student to be and then find a route from here to there that moves in "right sized" steps. Then the machine executes the plan while it continuously evaluates progress and re-plans as required. The problem is going to be that to do this the tutor needs an internal model of the student, that is a hard problem -- Chris Albertson Redondo Beach, California
